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Top Have Computer Vision Models
The models below have been fine-tuned for various have detection tasks. You can try out each model in your browser, or test an edge deployment solution (i.e. to an NVIDIA Jetson). You can use the datasets associated with the models below as a starting point for building your own have detection model.
At the bottom of this page, we have guides on how to count have in images and videos.
106 images 3398 classes
by TFT
558 images 275 classes
by Student
491 images 19 classes
by IDRBT
134 images 30 classes
ATM ATM opened Attacker Hooded user (male) Inserting card Might have an object (hidden hand) Person Person assisting (spurious activity) Person bending Phone Physical Assault Physical Assault (male) Reaching behind ATM Safe Attempted to be opened Security (male) Setting up Phone (record pin) Stealing customer details (peeking) Threat (fight) USB Un-identifiable
by Devanshu
233 images 1 classes
by proyecto1
206 images 8 classes
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